Data Engineer, Pyspark,VP

Data Engineer, Pyspark,VP

Join us as a Data Engineer, PySpark

• You’ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making
• We’ll look to you to drive the build of effortless, digital first customer experiences
• If you’re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you’re looking for
• We're offering this role at vice president level

What you'll do

As a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank’s data, safe and secure.

You’ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.

Your responsibilities will also include:

• Building advanced automation of data engineering pipelines through removal of manual stages
• Embedding new data techniques into our business through role modelling, training, and experiment design oversight
• Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets
• Sourcing new data using the most appropriate tooling for the situation
• Developing solutions for streaming data ingestion and transformations in line with our streaming strategy

The skills you'll need

To thrive in this role, you’ll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data. You'll need at least twelve years of experience driving target architecture adoption across portfolios, with a strong focus on Model Monitoring, ensuring model performance, stability, data quality, and regulatory compliance throughout the model lifecycle. You'll need experience working closely with product, risk, and data teams to build scalable monitoring capabilities, establish common standards, governance frameworks, and reporting mechanisms across multiple models and portfolios.

You'll need hands-on experience in software development and programming expertise, strong proficiency in PySpark, SQL, and data warehousing, deep knowledge of Spark optimization and performance tuning, and practical experience working in cloud environments, preferably AWS. You'll also need experience working with Agile teams, driving engineering best practices, mentoring team members, and guiding teams to deliver robust, high-quality data and monitoring solutions.

Additionally, you’ll need:

• Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis
• Data warehousing and data modelling capabilities
• A good understanding of modern code development practices
• Experience of working in a governed, and regulatory environment
• Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders

Hours

45

Job Posting Closing Date:

10/08/2026

Experience Level

Executive Level